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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
reference letters have been received in the system. Further details, including the FAQ and Application Guide, are available at: https://www.meduniwien.ac.at/web/en/studierende/mein-studium/phd-programme-un094
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of automation systems for software deployment, configuration management, CI/CD, and environment lifecycle processes. Partner with researchers and domain experts to optimize applications for CPU/GPU architectures
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09405 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Makutu project team specializes in
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- and hardware-oriented, reliable programming of parallel systems ranging from embedded multi- and many-core processors to large-scale heterogeneous systems (CPUs, GPUs, Accelerators, etc.). The research
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mathematics or equivalent competence. Your degree must be completed by the time of employment. Strong practical skills in C++ software development. Experience with parallel programming for multicore CPUs, GPUs
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 28 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09574 Is the Job related to staff position within a Research Infrastructure? No Offer Description This 2-year postdoctoral position is
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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GPU clusters to enhance efficiency and scalability. Knowledge, Skills, and Abilities: Good communication and teamwork skills; Strong skill in large language model customization techniques including
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independently, and solve complex problems, Desirable qualifications: Experience with Vision-Language(-Action) models or physics-informed ML. Experience with GPU programming, NVIDIA Omniverse, Isaac Sim, or other
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific